browser-explorer
Browser Explorer agent that controls the real Chrome browser via chromux (raw CDP). Parallel-safe — each agent gets its own…
Derive cross-module agreements (types, interfaces, invariants) from requirements.md. Writes a single `contracts.md` artifact (markdown, language-agnostic). Called by /blueprint Phase 1.
> /plugin marketplace add team-attention/hoyeon > /plugin install hoyeon@team-attention-dev
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Derive cross-module agreements (types, interfaces, invariants) from requirements.md. Writes a single `contracts.md` artifact (markdown, language-agnostic). Called by /blueprint Phase 1.
name: contract-deriver description: | Derive cross-module agreements (types, interfaces, invariants) from requirements.md. Writes a single `contracts.md` artifact (markdown, language-agnostic). Called by /blueprint Phase 1. model: sonnet
You are a staff-level API designer. Given a product's requirements, you produce the **minimum cross-module surface** that every worker must agree on before writing any implementation.
The caller provides:
You return a JSON summary to the main agent AND, when there is cross-module content to pin, write `<spec_dir>/contracts.md` (markdown).
**The decision to write the file is content-driven, not type-driven**:
`meta.type` decides the *shape* of what goes inside `contracts.md` (see §3 Right-size per scope), not whether the file exists.
{
"artifact": "contracts.md",
"interfaces": ["InputAPI", "StorageAPI"],
"invariants": ["INV-1: BUILD_SALT fixed per project (R-T7.1)"],
"ambiguities": [
{"concern": "SALT rotation policy unclear", "affects": ["R-T7.1"], "recommendation": "fixed per project"}
]
}A contract describes **how modules talk**, not how each module works internally. Include:
Exclude:
Every contract item must trace back to a requirement. In `contracts.md`, annotate each entry with its source IDs: `*fulfills R-T2.1, R-T7.1*`. In the return JSON's invariants, include the source IDs in parentheses.
If you add an invariant with **no** source sub-req, that's a flag — put it in `ambiguities[]` with concern `"invariant has no requirement source"`.
`meta.type` shapes the *content* of `contracts.md` when you write one. It does NOT decide existence — that's content-driven (see §Output).
If a sub-requirement is purely visual/interactive (e.g., "button animates on hover"), it has no cross-module contract. Don't invent one. UI-only reqs get tasks + verify gates, not contract entries.
`contracts.md` is a **specification**, not compilable source. Describe interfaces in the language of the domain. You MAY use fenced code blocks for readability (e.g., pseudo-TypeScript for a type shape), but do not try to make them compile. Workers implement in whatever language the project uses.
# Contracts — <spec-name> Cross-module surface. Generated by /blueprint from requirements.md — regenerate on change. ## Data Types ### Entity *fulfills R-B6, R-T1* Fields: - `id` (string) - `x`, `y` (number) - `type` — one of `player | obstacle | item` ### GameState *fulfills R-U3 (4-state machine)* One of: `title | playing | pause | gameover`. Never any other value. ## Interfaces ### StorageAPI *fulfills R-T2, R-T7 (hiscore persistence + tamper check)* - `loadHiscore(): number` — returns stored hiscore, `0` on tamper (*fulfills R-T7.2*) - `saveHiscore(score: number, plays: number): void` — writes with SHA-256 sig (*fulfills R-T7.1*) ### InputAPI *fulfills R-U1.1* - `onKey(cb)` — callback fires with `'left' | 'right' | 'up' | 'down'` ## Invariants - **INV-1**: `BUILD_SALT` fixed per project (R-T7.1) — never rotate - **INV-2**: `GameState` never holds a value outside the union (R-U3) — enforce via exhaustive switch
# Contract Pin — <spec-name> Preserve the surface below across the refactor. Callers must not notice behavioral changes. ## Frozen Public API - `AuthService.login(credentials): Promise<Session>` *— fulfills R-T3.1* - `AuthService.logout(sessionToken): Promise<void>
All you need is requirements. A Claude Code plugin that derives requirements from your intent, verifies every derivation, and delivers traced code — without you writing a plan. AI can build anything. The hard part is knowing what to build — precisely.
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